samsung SM-S938N
Geekbench AI Score
2888
Single Precision Score
2872
Half Precision Score
5155
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | dlwlrma |
| Upload Date | February 25 2025 12:55 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S938N |
| Model ID | samsung SM-S938N |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.47 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2169
403.5 IPS |
|
|
Image Classification (HP)
|
100% |
2151
400.0 IPS |
|
|
Image Classification (Q)
|
100% |
4428
823.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2552
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2556
41.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5346
86.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5565
6.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
5388
6.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
13446
15.9 IPS |
|
|
Object Detection (SP)
|
98% |
1699
135.2 IPS |
|
|
Object Detection (HP)
|
98% |
1759
140.0 IPS |
|
|
Object Detection (Q)
|
83% |
3985
321.9 IPS |
|
|
Face Detection (SP)
|
100% |
4480
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
4418
52.5 IPS |
|
|
Face Detection (Q)
|
95% |
9908
118.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4684
36.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4574
35.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
10979
100.6 IPS |
|
|
Style Transfer (SP)
|
89% |
11506
14.9 IPS |
|
|
Style Transfer (HP)
|
89% |
11347
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
24925
32.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2355
87.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2419
89.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6592
244.3 IPS |
|
|
Text Classification (SP)
|
100% |
979
1.31 KIPS |
|
|
Text Classification (HP)
|
99% |
979
1.31 KIPS |
|
|
Text Classification (Q)
|
88% |
1043
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1389
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1351
23.3 IPS |
|
|
Machine Translation (Q)
|
50% |
561
19.9 IPS |
